At a Glance
- Tasks: Design and build AI-driven products and data integrations across platforms, focusing on Salesforce.
- Company: Join Epicor, a team of 5,000 professionals shaping the future of business through data and AI.
- Benefits: Enjoy competitive pay, comprehensive health benefits, and free LinkedIn Learning for personal development.
- Other info: Collaborative and inclusive workplace with excellent career growth opportunities.
- Why this job: Work on cutting-edge AI projects and solve complex data challenges that make a real impact.
- Qualifications: Strong backend engineering skills in Python and experience with data integration and SaaS platforms.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Senior Data & Integration Engineer to design, build, and scale AI-driven products and data integrations across our platform, with Salesforce as a key system within a broader ecosystem. This is not a traditional Salesforce development role — the focus is on integrating systems, enabling data flow, and supporting AI-native applications. This role combines backend engineering, data engineering, and AI integration. You will work across systems to deliver scalable, reliable, and observable solutions that power both internal and customer-facing products.
Key Responsibilities
- Design and build scalable backend services (primarily Python) to support AI-driven products and integrations
- Develop and maintain integrations between Salesforce and other enterprise systems (e.g. Workday, ServiceNow, financial platforms)
- Build and optimise ETL pipelines, data workflows, and event-driven architectures
- Enable AI/ML use cases by supporting data pipelines, retrieval systems (RAG), and embedding workflows
- Integrate AI capabilities into complex workflows with a focus on reliability, auditability, and performance
- Collaborate with Product, Data, and Engineering teams to translate business problems into scalable technical solutions
- Implement observability (logging, metrics, tracing) and ensure production-grade reliability
- Contribute to architecture decisions across data, integration, and AI platforms
- Mentor junior engineers and promote engineering best practices
Required Skills & Experience
- Strong backend engineering experience (Python preferred)
- Proven experience in data engineering: SQL, ETL pipelines, and large-scale data processing
- Hands-on experience integrating SaaS platforms (Salesforce experience required, but not limited to internal platform development)
- Experience working with APIs, microservices, and event-driven architectures
- Exposure to modern data stacks (e.g. Airflow, dbt, Spark, or similar)
- Experience with cloud platforms (Azure preferred)
- Familiarity with AI/ML systems, including GenAI tooling (RAG, embeddings, evaluation frameworks)
- Strong understanding of system design, scalability, and observability
Desirable Skills
- Experience with vector databases and data retrieval systems
- Exposure to machine learning workflows or data science collaboration
- Frontend experience (React/Angular) for full-stack contributions
- Experience optimising performance, latency, and cost in AI systems
The ideal candidate will:
- Be comfortable working across multiple systems and data environments
- Have strong SQL and data pipeline experience
- Be able to integrate Salesforce into a wider architecture (not build exclusively within it)
- Bring curiosity and adaptability across AI, data, and engineering domains
Why Join
This is an opportunity to work on cutting-edge AI products while solving complex data and integration challenges at scale. You will play a key role in shaping how systems connect, how data flows, and how AI is embedded into real-world applications.
About Epicor
At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.
Competitive Pay & Benefits
- Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.
- Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
- Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
- Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
- Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
- Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
- Global Mobility: Comprehensive support for international relocations and permanent residency processes.
Equal Opportunities and Accommodations Statement
Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless. We are an equal-opportunity employer.
Senior Data & Integration Engineer (AI Platforms & Salesforce Ecosystem) in Bracknell employer: Epicor
Epicor is an excellent employer that fosters a collaborative and innovative work culture, where employees are encouraged to grow their skills in cutting-edge technologies like AI and data integration. With a strong focus on professional development and a commitment to work-life balance, our UK team enjoys unique opportunities to contribute to impactful projects while being part of a supportive community. Join us to be at the forefront of technology in a role that promises both challenge and reward.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Integration Engineer (AI Platforms & Salesforce Ecosystem) in Bracknell
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Python, ETL pipelines, or AI integrations. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data integration and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data & Integration Engineer (AI Platforms & Salesforce Ecosystem) in Bracknell
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with backend engineering, data integration, and AI systems. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills:When detailing your experience, focus on your proficiency in Python, SQL, and any ETL pipelines you've built. Mention specific tools or platforms you've worked with, especially Salesforce, as it’s a key part of our ecosystem.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points for easy reading and ensure you clearly outline your achievements and responsibilities in previous roles. We appreciate clarity!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Epicor
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and any relevant cloud platforms like Azure. Brush up on your experience with ETL pipelines and data workflows, as these will likely come up during technical discussions.
✨Showcase Your Integration Skills
Prepare to discuss your hands-on experience integrating Salesforce with other systems. Be ready to share specific examples of how you've tackled integration challenges and optimised data flow in previous roles. This will demonstrate your ability to handle the complexities of the role.
✨Emphasise AI and Data Engineering Knowledge
Since the role focuses on AI-driven products, highlight any experience you have with AI/ML systems and data engineering. Discuss how you've supported AI use cases in the past and be prepared to explain your understanding of modern data stacks and observability practices.
✨Be Ready to Collaborate
Collaboration is key in this role, so think of examples where you've worked closely with product, data, and engineering teams. Show that you can translate business problems into technical solutions and that you're comfortable mentoring junior engineers while promoting best practices.
